Senior ML Ops Engineer — Hybrid, Growth & HITL AI Platform

GlobalLogic Inc.; Województwo pomorskie; On-site; PLN 83,000 - 124,000; Full time

Job summary

GlobalLogic Inc. is seeking a seasoned DevOps/Platform Engineer to join a client project focused on building a HITL AI agent platform for threat intelligence.

The role emphasizes scalable infrastructure and ML workloads in a cloud-native environment, with a strong emphasis on security and governance. The initial engagement spans 4 months with potential extension, offering opportunities to work with Vertex AI, Terraform, Kubernetes, and CI/CD pipelines while delivering low-latency inference and

Qualifications

• 5+ years in DevOps or platform engineering with ML exposure.
• Proficient in GCP and Terraform.
• Experience with Vertex AI pipelines, endpoints, and model registry.
• CI/CD and containers with Kubernetes experience.
• IAM, secrets management and network perimeter security.

Responsibilities

• Provision infra as code with Terraform for Vertex AI, Cloud Run/GKE, Pub/Sub, BigQuery, and more.
• Build CI/CD pipelines for services and models, including the model registry and experiment tracking.
• Serve the ModernBERT model with low latency and cost-efficient inference.
• Automate retraining triggered by feedback drift, with gated promotion to production.
• Operate the feedback and data infrastructure (BigQuery and vector store).
• Secure and audit MCP server access and Cloud Logging.
• Run observability for latency, cost and quality alerts; lead Hypercare and incident response.

Skills

DevOps / Platform engineering

ML workloads support

Google Cloud Platform

Terraform

Vertex AI

CI/CD

Kubernetes

IAM & secrets management

Tools

Vertex AI Pipelines

Vertex AI Endpoints

Model Registry

Pub/Sub

BigQuery

Cloud Run / GKE

Secret Manager

Job description

GlobalLogic Inc. is seeking a seasoned DevOps/Platform Engineer to join a client project focused on building a HITL AI agent platform for threat intelligence.

The role emphasizes scalable infrastructure and ML workloads in a cloud-native environment, with a strong emphasis on security and governance. The initial engagement spans 4 months with potential extension, offering opportunities to work with Vertex AI, Terraform, Kubernetes, and CI/CD pipelines while delivering low-latency inference and